IT consulting: make your business digitally fit

Was M2M bedeutet, wie es funktioniert und wo es in der Praxis eingesetzt wird.

Seize opportunities, manage risks—and make informed decisions.

AI governance allows you to establish a framework for the use of AI in your organization.

Successful AI implementation requires expertise and a clear roadmap.

Streamline processes, structure interfaces, and implement automation where it makes sense.

Stabilise processes, reduce complexity, make results measurable.

Simplify processes, identify potential, and use automation in a targeted manner.

Stabilize processes, reduce complexity, create measurable benefits.

How to bring your AI system into line with applicable laws and ethical standards.

How AI is making the automotive industry more efficient, smarter, and more competitive.

How AI works explained in simple terms—from data to models to benefits.

Can digital sovereignty make companies more secure, independent, and crisis-proof?

Plan your cloud migration smartly and implement it successfully with a 5-point roadmap and practical know-how.

How data can help you make clear decisions.

Your foundation for data-driven decisions

AI is more than just hype: it is already being used today - in everyday life, in business, for society.

You automate, analyze, decide - and make your business fit for the future.

Fast to the cloud: Migrate applications quickly with Lift & Shift - know the opportunities and limits.

Reduce cloud costs and save resources - how to optimize your cloud environment!

Use FinOps to optimize cloud costs and strengthen collaboration!

Want to modernise your IT without rebuilding everything? Replatforming makes it possible.

Discover how cloud-native applications can support you in your digital transformation.

Code as a city map: identify hotspots, plan refactoring, and target specific projects for improvement.

Understanding and using LLMs: What they can do, where they can help – and how to get started.

Use generative intelligence strategically, securely and with clear added value.

Descriptive analytics explained – definition, process, benefits and specific examples.

Predictive maintenance explained: making maintenance more predictable, efficient and smarter.

Using AI correctly: data, opportunities, challenges and concrete solutions.

Using the cloud without losing track – opportunities and risks examined.

Cloud or on-premises? Differences, costs, advantages and disadvantages compared.

Plan your path to the cloud intelligently: models, services and security at a glance.

Data security in the cloud: understanding the challenges, finding solutions.

Potential and areas of application for AI, tips and examples for sustainability.

Understanding artificial intelligence simply: applications, impact and future opportunities.

DevOps explained – methods, advantages and how teams can quickly benefit from it.

Whisper on the Pi? It works – but not everything. Practical insights from Marno Janetzky.

How AI is driving innovation, efficiency and new technologies in industry.

Better estimate customer demand: definition, methods and added value of demand forecasting.

How predictive quality helps increase customer satisfaction and reduce production costs.

AI in practice: use cases from sales to production, with opportunities and obstacles.

Understanding the basics of cloud architectures: models, security and costs explained in detail.